Solution Architect - Strategy & Data Architecture - PNC Financial Services Group
Solutions Architect
We're looking for a Solutions Architect focused on designing and building scalable technical solutions. This lead role requires 5+ years of relevant experience.
About the role
Position Overview
Develops solution and data architecture and resolves complex issues across a variety of initiatives through requirements analysis, architectural leadership, and project supervision.
Designs solution architecture for large or complex programs, including system, application, and data designs, in alignment with enterprise strategies, standards, and target state roadmaps.
Defines and governs data architecture patterns, including logical and physical data models, canonical data structures, data domains, and master/reference data strategies.
Provides architectural leadership for data platforms and data ecosystems, including data warehousing, data lakes/lakehouses, analytical platforms, streaming architectures, and cloud based data services.
Establishes and enforces best practices for data modeling (conceptual, logical, physical), data integration, data quality, metadata management, lineage, and lifecycle management.
Partners with business, analytics, and engineering teams to ensure data architectures support reporting, analytics, AI/ML, regulatory, and operational use cases.
Provides consulting and guidance to IT and data engineering teams on data design, integration patterns, storage technologies, and architectural tradeoffs.
Develops solutions that account for non functional requirements (e.g., scalability, performance, resiliency, security, privacy, and regulatory compliance) and applies appropriate architectural tactics to meet them.
Communicates with clients and stakeholders to analyze business requirements, data needs, and processes; produces architecture recommendations that align business, technology, and data strategies.
Oversees architecture outcomes across initiatives, ensuring solution and data architectures meet functional, non functional, and governance requirements at each phase.
Collaborates with enterprise data governance and risk partners to ensure architectures align with data governance, security, privacy, and regulatory standards.
Explores new and emerging technologies and data capabilities (e.g., cloud-native data services, AI/ML platforms, streaming, metadata and governance tooling), developing strategic viewpoints on how they enable business outcomes or introduce disruption.
Practices strong decision making and critical thinking by fully analyzing complex business, technology, and data related issues and driving productive, well reasoned outcomes.
Practices enterprise systems thinking, with a broad understanding of application, infrastructure, integration, and data architectures and how they collectively enable business capabilities.